找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Artificial Intelligence and Blockchain for Future Cybersecurity Applications; Yassine Maleh,Youssef Baddi,Imed Romdhani Book 2021 The Edit

[復(fù)制鏈接]
樓主: 候選人名單
11#
發(fā)表于 2025-3-23 10:40:57 | 只看該作者
Spark Based Intrusion Detection System Using Practical Swarm Optimization Clusterings to discover attacks from such networks. This paper proposes a new Spark based intrusion detection system using particle swarm optimization clustering, referred to as IDS-SPSO, for large scale data able to provide good tradeoff between scalability and accuracy. The use of Particle swarm optimizatio
12#
發(fā)表于 2025-3-23 15:50:41 | 只看該作者
A New Scheme for Detecting Malicious Attacks in Wireless Sensor Networks Based on Blockchain Technolhare sensitive data across multiple sensor nodes, smart devices and transceivers. These sensitive data in WSNs environment is susceptible to various cyber-attacks and threats. Therefore, an efficient security mechanism is needed to handle threats, attacks and security challenges in WSNs. This paper
13#
發(fā)表于 2025-3-23 18:48:35 | 只看該作者
14#
發(fā)表于 2025-3-23 23:49:09 | 只看該作者
Automated Methods for Detection and Classification Pneumonia Based on X-Ray Images Using Deep Learniocess hundreds of X-Ray and Computed Tomography (CT) images to accelerate the diagnosis of pneumonia such as SARS, covid-19, etc., and aid in its containment. Medical image analysis is one of the most promising research areas; it provides facilities for diagnosis and making decisions of several dise
15#
發(fā)表于 2025-3-24 02:30:49 | 只看該作者
16#
發(fā)表于 2025-3-24 08:03:04 | 只看該作者
17#
發(fā)表于 2025-3-24 11:30:42 | 只看該作者
18#
發(fā)表于 2025-3-24 15:46:56 | 只看該作者
https://doi.org/10.1007/978-981-10-5927-8cious sensor nodes. Also, CN uses important parameters such as sensor node-hash value, node-signature and voting degree for malicious to detect malicious nodes in WSNs. The overall results statistic showed that 94.9% of malicious messages were detected and identified successfully during our scheme’s simulation.
19#
發(fā)表于 2025-3-24 23:02:29 | 只看該作者
Urban Land Use Land Cover Changee 3rd person or agency about the incident. It can also manually highlight any object in a frame to keep track of its movement for security purposes. Machine and Deep Learning techniques were used to train models for object detection and facial recognition. The model achieved an accuracy of 97.33% in object detection and 90% in facial recognition.
20#
發(fā)表于 2025-3-25 01:05:03 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-25 14:46
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
凌源市| 石河子市| 龙井市| 南丹县| 铁岭县| 班戈县| 玉树县| 聊城市| 长岭县| 浦北县| 兴化市| 凤冈县| 香河县| 章丘市| 桐梓县| 长白| 江源县| 蕲春县| 永登县| 大兴区| 汤原县| 肇东市| 云霄县| 台北市| 慈利县| 白玉县| 陆良县| 莫力| 镇安县| 博湖县| 长治市| 新河县| 廊坊市| 固安县| 中宁县| 精河县| 攀枝花市| 遂宁市| 大邑县| 苍梧县| 鱼台县|